It has become an increasing important research field due to its rapid growing applications in various areas, such as biomedical signal analysis, speech recognition, tele communication and so on.
由于它在生物医学信号分析、语音识别、无线通信等领域应用的不断拓广，它已成为一个热门的研究领域。
The chaotic communication system is applied to speech communication with analysis of the selection of the drive period and the input information signal amplitude.
系统设计中详细讨论了间歇驱动周期和输入信号比例放大系数的恰当选取。
The sinusoidal representation of speech signal and a cochlear model are used to extract speech parameters in this paper, and a speech analysis/synthesis system is developed using the model.
本文采用语音信号的正弦表示方法并利用耳蜗模型提取了语音信号的基本特征参数，建立了一个语音分析／合成系统。
The wavelet analysis is applying widely to pure mathematics, applied mathematics, signal processing, speech recognition and synthesis, automation processing and image analysis etc.
小波分析已经广泛应用于理论数学、应用数学、信号处理、语音识别与合成、自动控制和图像处理与分析等领域。
Traditional speech signal processing is based on FFT power spectral analysis, in noisy condition, the spectrum of noise and speech signal are processed in the same way.
传统语音信号谱特征的提取是基于FFT 的能谱分析方法，在噪音环境情况下，对噪音的频谱成分与语音信号的频谱成分的处理采用“平均主义”的原则。
Speech signal spectrum analysis is the time-varied spectrum analysis. FFT technique on speech signal spectrum analysis are discussed in detail in this paper.
针对语音信号频谱分析实际上是时变频谱分析的特性，详细地讨论了用FFT技术对语音进行频谱分析过程中的方法问题。
Based on MATLAB language, complete speech signal spectrum analysis and collecting and filtering.
基于MATLAB语言编写，完成对语音信号的采集、频谱分析及滤波。
Linear prediction analysis is a basic technique for digital processing of speech signal and the base for the technique of digital processing of speech signal to be implemented in many applications.
线性预测分析技术是对语音信号处理各个领域都具有很高价值的一种基本的语音信号数字处理技术，它是语音信号数字处理技术在很多方面得以实现的基础。
Linear prediction analysis is a basic technique for digital processing of speech signal and the base for the technique of digital processing of speech signal to be implemented in many applications.
线性预测分析技术是对语音信号处理各个领域都具有很高价值的一种基本的语音信号数字处理技术，它是语音信号数字处理技术在很多方面得以实现的基础。
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